Automotive

BlackBerry has transformed from a mobile hardware maker into a software company, focusing on critical software for automotive and secure communications. Its QNX operating system powers millions of vehicles and is crucial for “physical AI” applications like robotics. This strategic pivot has led to significant investor confidence, with its share price doubling this year and a substantial backlog of QNX orders.

BlackBerry is pivoting from its iconic phones to become a leader in physical AI, specifically robotics. Its safety-critical QNX operating system, already dominant in automotive, is now being expanded into industrial automation, automated warehouses, and medical devices. This strategic shift, focusing on specialized applications rather than humanoid robots, is driving significant growth and investor confidence, with the company citing a substantial backlog for QNX software in this burgeoning sector.

Qualcomm’s latest earnings met expectations, but forward guidance was cautious due to supply chain constraints. The company announced a September 1 price increase for its chips to offset rising input costs and is diversifying into automotive, wearables, and robotics, aiming for non-smartphone revenue to be 60% of total revenue next fiscal year. Automotive and IoT segments show healthy growth, while handset chip sales declined.

Qualcomm’s stock has surged as investors recognize its pivotal role in the AI hardware market beyond cloud-based training. The chipmaker is dominating smartphone AI and expanding into AR, automotive, and robotics. A potential OpenAI collaboration on a new AI chip and its expansion into data center accelerators further fuel optimism, positioning Qualcomm for leadership in connected device innovation.

Qualcomm shares surged after announcing plans to ship data center chips to a major cloud provider this year, despite a mixed earnings report. The company is strategically expanding into the data center market, a competitive space. Growth is also evident in its automotive segment, though challenges remain in the smartphone sector due to Apple’s shift. A partnership with OpenAI could unlock new AI-driven smartphone opportunities.

NXP Semiconductors’ stock soared following strong first-quarter earnings, driven by robust demand in the automotive sector and emerging data center applications. Exceeding analyst expectations, NXP reported higher-than-forecasted earnings per share and revenue, up 12% year-over-year. CEO Rafael Sotomayor highlighted the growth drivers as software-defined vehicles and physical AI, while also noting NXP’s strategic expansion into data centers, focusing on power efficiency and secure control systems. Analysts responded positively, with several raising price targets.

Neusoft and Cerence Inc. are partnering to advance large language model (LLM) based voice AI for the automotive industry. This collaboration integrates Cerence’s conversational AI expertise with Neusoft’s intelligent cockpit software, NAGIC, to create highly personalized, natural, and emotionally resonant in-car interaction solutions. The goal is to set a new standard for smart vehicles, offering automakers tools for safer, more intelligent mobility experiences and expanding global reach.

Autozi Internet Technology has regained compliance with Nasdaq’s minimum market value requirement, as confirmed by a January 13, 2026, notification. The company now meets Nasdaq Listing Rule 5450(b)(2)(A) and all other continued listing standards, leading to the cancellation of its scheduled hearing. Autozi’s shares will continue trading on the Nasdaq Global Market, reflecting renewed market confidence in its automotive lifecycle service and supply-chain technology platform in China.

Nvidia is expanding into the automotive sector by planning a robotaxi service, aiming for Level 4 autonomy by 2027. This initiative leverages their Drive platform, enhancing existing offerings and positioning autonomous driving as a key growth area alongside their AI infrastructure business. The company also provides AI chips and simulation software to automakers like Mercedes-Benz, accelerating development and market entry for self-driving features. Nvidia envisions a future of autonomous vehicles, from robotaxis to personal cars, powered by advanced AI and generative models.